B.Voc in Machine Learning and Artificial Intelligence
The Bachelor of Vocation (BVoc) in Machine Learning and Artificial Intelligence from Guru Kashi University aims to equip students with a comprehensive understanding of cutting-edge technologies, practical skills, and industry-ready competencies in the field of AI and machine learning. This program is designed to prepare graduates for a dynamic and rapidly evolving industry, enabling them to harness AI technologies and machine learning techniques to solve real-world problems and drive innovation across sectors.
- Provide a Comprehensive Understanding: Offer an in-depth foundation in the core concepts and principles of machine learning and artificial intelligence, including supervised and unsupervised learning, neural networks, natural language processing, and deep learning.
- Develop Practical Skills: Ensure students gain hands-on experience through internships, labs, and real-world projects, enabling them to apply theoretical knowledge to practical AI and machine learning challenges and excel in the industry.
- Foster Technological Proficiency: Introduce students to state-of-the-art technologies and tools in AI and machine learning, such as Python programming, TensorFlow, Keras, and data visualization platforms, helping them build practical competencies for solving complex AI problems.
- Promote Analytical and Problem-Solving Thinking: Equip students with the skills to analyze data, design algorithms, and develop models that can predict outcomes, automate decision-making processes, and enhance overall system efficiency.
Program Structure
|
NSQF Level |
Normal Duration |
Exit Points/Awards |
|
7 |
Six Semester |
B.Voc Degree |
|
6 |
Four Semester |
Advanced Diploma |
|
5 |
Two Semester |
Diploma |
|
4 |
One Semester |
Certificate |
Program Curriculum
Semester I
|
Course Code |
Title of the Course |
Credits |
|
BVMLAI-101 |
Basics of Artificial Intelligence and Machine Learning |
4 |
|
BVMLAI-102 |
Object Oriented Programming usin g Python |
4 |
|
BVMLAI-121 |
Lab- Python Programming |
4 |
|
BVMLAI-103 |
Mathematics – I |
4 |
|
BVMLAI-104 |
Programming Language-I |
5 |
|
BVMLAI-105 |
English-I |
6 |
Semester II
|
Course Code |
Title of the Course |
Credits |
|
BVMLAI-201 |
Data Structures and Algorithm |
4 |
|
BVMLAI-202 |
Statistical Structure in data using R |
4 |
|
BVMLAI-221 |
Lab- R Programming |
4 |
|
BVMLAI-203 |
Statistics - I |
4 |
|
BVMLAI-204 |
Programming Language-II |
5 |
|
BVMLAI-205 |
English-II |
6 |
Semester III
|
Course Code |
Title of the Course |
Credits |
|
BVMLAI-301 |
Java Programming |
6 |
|
BVMLAI-302 |
Neural Networks |
4 |
|
BVMLAI-321 |
Lab- Java Programming |
4 |
|
BVMLAI-303 |
Advanced Data Base System |
4 |
|
BVMLAI-322 |
Lab- Advanced Data Base System |
4 |
|
BVMLAI-304 |
Pattern Recognition |
4 |
|
BVMLAI-305 |
Generic Electives-I |
6 |
Semester IV
|
Course Code |
Title of the Course |
Credits |
|
BVMLAI-401 |
Natural Language Processing |
4 |
|
BVMLAI-402 |
Deep Leaning |
4 |
|
BVMLAI-403 |
Machine Learning and its Applications |
4 |
|
BVMLAI-421 |
Lab - Machine Learning using WEKA |
4 |
|
BVMLAI-404 |
Internet of Things |
4 |
|
BVMLAI-405 |
Generic Electives-II |
6 |
|
BVMLAI-406 |
Skill Enhancement Course-II |
2 |
|
BSES-451 |
Environmental Science |
2 |
Semester V
|
Course Code |
Title of the Course |
Credits |
|
BVMLAI-501 |
Machine Vision Systems |
4 |
|
BVMLAI-502 |
Big Data Analytics |
4 |
|
BVMLAI-503 |
Statistical Analysis System/SPSS Programming |
4 |
|
BVMLAI-521 |
Lab- Statistical Analysis System /SPSS Programming |
4 |
|
BVMLAI-504 |
Discipline Specific Elective-I |
6 |
|
BVMLAI-505 |
Discipline Specific Elective-II |
6 |
|
BVMLAI-506 |
Skill Enhancement Course-III |
2 |
Semester VI
|
Course Code |
Title of the Course |
Credits |
|
BVMLAI-601 |
Web Mining & Recommender Systems |
4 |
|
BVMLAI-602 |
Data Science using Python |
4 |
|
BVMLAI-621 |
Lab- Data Science |
4 |
|
BVMLAI-603 |
Discipline Specific Elective-III |
6 |
|
BVMLAI-604 |
Discipline Specific Elective-IV |
6 |
|
BVMLAI-622 |
Project work |
8 |
Career Opportunities
|
Machine Learning Engineer |
AI Product Manager |
Robotics Engineer (AI/ML Focus) |
|
Computer Vision Engineer |
Natural Language Processing (NLP) Engineer |
AI Software Engineer |
|
AI Research Scientist |
Deep Learning Engineer |
Data Scientist |
|
AI Ethicist |
Autonomous Systems Engineer |
AI Consultant |
|
Data Analyst (AI/ML Focus) |
Speech Recognition Engineer |
AI Engineer in Healthcare |